spEDM: Spatial Empirical Dynamic Modeling
Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>, together with geographical pattern causality proposed in Zhang et al. (2025) <doi:10.1080/13658816.2025.2581207>.
| Version: |
1.9 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, ggplot2, methods, sdsfun (≥ 0.7.0), sf, terra |
| LinkingTo: |
Rcpp, RcppThread, RcppArmadillo |
| Suggests: |
knitr, Rcpp, RcppThread, RcppArmadillo, rmarkdown, readr, plot3D |
| Published: |
2025-11-30 |
| DOI: |
10.32614/CRAN.package.spEDM |
| Author: |
Wenbo Lv [aut,
cre, cph] |
| Maintainer: |
Wenbo Lv <lyu.geosocial at gmail.com> |
| BugReports: |
https://github.com/stscl/spEDM/issues |
| License: |
GPL-3 |
| URL: |
https://stscl.github.io/spEDM/, https://github.com/stscl/spEDM |
| NeedsCompilation: |
yes |
| Citation: |
spEDM citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
spEDM results |
Documentation:
Downloads:
Reverse dependencies:
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